In this paper we propose a new descriptor for birds search. First, our work was carried on the choice of a descriptor. This choice is usually driven by the application requirements such as robustness to noise, stability with respect to bias, the invariance to geometrical transformations or tolerance to occlusions. In this context, we introduce a descriptor which combines the shape and color des...

Today, the number of registered trademarks is huge and is increasing rapidly. Thus, the job of identifying infringement of trademarks by solely using manual inspection is tiring, laborious and time consuming. To cope with the tremendous amount of available registered trademarks and to protect the infringement of trademarks, a new automatic and efficient trademark retrieval system is necessary a...

In this paper, we apply a recently developed type of moments, Orthogonal Fourier-Mellin Moments (OFMMs) [7], to the specijic problem of fully translation-, scaleand inplane rotation-invariant detection of human faces in twodimensional static color images, and we compare theirperformance with that of the generalized Hu's moments or nonorthogonal Fourier-Mellin moments (FMMs). As compared to the ...

In various application domains such as education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The problem appears when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images from large image databases similar to the query image based on the similarity between image features. In this thesi...

Various types of orthogonal moments have been widely used for object recognition and classification. In the paper, a new set of the rotation and scale invariants of Legendre moments is introduced. In order to achieve good results in CBIR experiments and image classification experiments using the rotation and scale invariants of Legendre moments, we performed experiments on one texture image dat...